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Method for quickly recognizing front face through video monitoring

A frontal face, discrimination method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of slow operation speed and high precision requirements, and achieve good discrimination speed, strong classification ability, and strong classification ability. Effect

Active Publication Date: 2014-06-18
NAT UNIV OF DEFENSE TECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

Compared with the above methods, the model-based method has the advantages of simple implementation and high precision, but this method also has the disadvantages of high accuracy requirements for feature point extraction [Reference 3] and slow operation speed

Method used

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  • Method for quickly recognizing front face through video monitoring
  • Method for quickly recognizing front face through video monitoring
  • Method for quickly recognizing front face through video monitoring

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The method of the present invention comprises following two stages:

[0035] (1) Training stage

[0036] 1) First extract face pictures in the standard video library and the collected video as the training sample set, because the present invention is mainly to distinguish the front face images quickly, so in order to better distinguish faces, select the front face pictures as training For positive samples, select face images with a large degree of face rotation as negative samples for training. The positive face image refers to the face image whose face rotation angle around the Y axis is less than or equal to 5 degrees, while the negative sample uses the face image whose rotation angle is greater than or equal to 30 degrees. Positive and negative samples such as figure 2 , 3 shown.

[0037] Select n sample images (x 1 ,y 1 ),(x 2 ,y 2 ),…,(x i ,y i ),…,(x n ,y n ), x i is the input sample image, y i is the class flag, where y i =0 represents a negative sa...

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Abstract

The invention discloses a method for quickly recognizing a front face through video monitoring, which is used for recognizing the most front image frame in one segment of video monitoring. The method comprises the following steps of firstly, extracting front face images from a standard video base and monitoring videos to use as a training positive sample, extracting side face images as a training negative sample, then extracting features of an integral channel, and utilizing an Adaboost algorithm to train a strong classifier from the features. When the front face is recognized, in the inputted monitoring videos, a face is detected by the existing matured face detection algorithm, a detection window is recognized, the images are scored, and the image with highest score is selected, namely the most front face frame. The method has the advantages that the recognizing speed and recognizing precision of the face gesture are improved, the front face is accurately recognized, and the calculation workload of face gesture recognizing is reduced.

Description

technical field [0001] The invention relates to the fields of image processing and pattern recognition, in particular to a method for quickly discriminating frontal faces for video monitoring. Background technique [0002] As an important part of security monitoring, video surveillance systems have been widely used in supermarkets, banks, governments and other departments. The development of the economy and society has also put forward higher requirements for the security protection industry. The role of video surveillance in production and life is becoming increasingly important, resulting in an increasingly larger scale of monitoring systems and more and more monitoring points. Therefore, it is necessary to store massive Video data, it is becoming more and more difficult to analyze videos. For example, it will become difficult to match a face in these videos. If the useful information in the video can be stored, the analysis of the video can be transformed In order to ana...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 徐玮谭树人熊志辉张政刘煜杨建
Owner NAT UNIV OF DEFENSE TECH
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